基于偏振自适应散射抑制的水下结构光重建方法及其系统
By employing a polarization-adaptive scattering suppression method, the scattered light intensity is separated using time-domain integration and low-rank sparse matrix factorization techniques. Combined with an adaptive iterative algorithm, the background light intensity is estimated, thus solving the problems of low fringe contrast and large phase error in underwater 3D measurement and achieving high-precision 3D reconstruction results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- EAST CHINA JIAOTONG UNIVERSITY
- Filing Date
- 2026-05-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing underwater 3D measurement technologies suffer from low fringe contrast and large phase errors in environments with strong scattering and absorption. Traditional descattering methods rely on complex priors, leading to the loss of fringe details and reconstruction failure, making it difficult to accurately reconstruct the structure of objects in turbid waters.
A polarization-adaptive scattering suppression method is adopted. By acquiring phase-shifted fringe image sequences at four polarization angles, the backscattered light intensity distribution is separated using time-domain integration and low-rank sparse matrix factorization models. The background light intensity at infinity is estimated by combining an adaptive iterative truncation mean algorithm. The fringe images are corrected frame by frame and phase unwrapping is performed to reconstruct the three-dimensional point cloud.
It significantly improves stripe contrast and phase measurement accuracy under high turbidity and high reflectivity conditions, achieves high-precision 3D reconstruction, reduces specular reflection and scattering interference, and improves robustness and applicability in complex underwater environments.
Smart Images
Figure CN122156501B_ABST